At the intersection of perception, spatial reasoning, and decision-making, we are committed to advancing mobile robots toward human-level autonomy by developing algorithms and systems that can efficiently and robustly:

• Perceive and interpret various sensory inputs such as images, point clouds, and proprioceptive data.
• Integrate neural and symbolic memory representations to capture spatial common sense and semantic knowledge.
• Reason, plan, and act in real time to navigate in, interact with, and adapt within unstructured and dynamic environments.